Overview

Dataset statistics

Number of variables16
Number of observations214
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory26.9 KiB
Average record size in memory128.6 B

Variable types

Numeric16

Alerts

CE_MR is highly overall correlated with PO_MRHigh correlation
CHS (%) is highly overall correlated with PO_MW (g/mol) and 1 other fieldsHigh correlation
DI_MR is highly overall correlated with IsoIndexHigh correlation
Elongation_Rate (mm/min) is highly overall correlated with Gage_Width (mm) and 4 other fieldsHigh correlation
Gage_Width (mm) is highly overall correlated with Elongation_Rate (mm/min) and 3 other fieldsHigh correlation
IsoIndex is highly overall correlated with DI_MRHigh correlation
PO_MR is highly overall correlated with CE_MRHigh correlation
PO_MW (g/mol) is highly overall correlated with CHS (%) and 4 other fieldsHigh correlation
Strain_Rate (/min) is highly overall correlated with Elongation_Rate (mm/min) and 4 other fieldsHigh correlation
Thickness (mm) is highly overall correlated with Elongation_Rate (mm/min) and 4 other fieldsHigh correlation
Tr1 is highly overall correlated with Elongation_Rate (mm/min) and 5 other fieldsHigh correlation
Tr2 is highly overall correlated with Elongation_Rate (mm/min) and 5 other fieldsHigh correlation
Young's modulus (Mpa) is highly overall correlated with CHS (%) and 1 other fieldsHigh correlation

Reproduction

Analysis started2024-03-01 02:12:57.645975
Analysis finished2024-03-01 02:13:25.557777
Duration27.91 seconds
Software versionydata-profiling vv4.6.2
Download configurationconfig.json

Variables

PO_MW (g/mol)
Real number (ℝ)

HIGH CORRELATION 

Distinct38
Distinct (%)17.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3545.0187
Minimum530
Maximum31500
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.8 KiB
2024-03-01T10:13:25.707221image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/

Quantile statistics

Minimum530
5-th percentile860
Q11000
median1942.5
Q32030
95-th percentile13050
Maximum31500
Range30970
Interquartile range (IQR)1030

Descriptive statistics

Standard deviation6342.8505
Coefficient of variation (CV)1.7892291
Kurtosis12.467804
Mean3545.0187
Median Absolute Deviation (MAD)942.5
Skewness3.5726614
Sum758634
Variance40231752
MonotonicityNot monotonic
2024-03-01T10:13:25.880662image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
Histogram with fixed size bins (bins=38)
ValueCountFrequency (%)
1000 53
24.8%
2000 47
22.0%
860 25
11.7%
2500 10
 
4.7%
10800 7
 
3.3%
31500 7
 
3.3%
1800 5
 
2.3%
1400 5
 
2.3%
3000 5
 
2.3%
1250 4
 
1.9%
Other values (28) 46
21.5%
ValueCountFrequency (%)
530 2
 
0.9%
750 1
 
0.5%
860 25
11.7%
900 3
 
1.4%
990 1
 
0.5%
1000 53
24.8%
1008 1
 
0.5%
1160 2
 
0.9%
1250 4
 
1.9%
1400 5
 
2.3%
ValueCountFrequency (%)
31500 7
3.3%
31000 1
 
0.5%
26000 1
 
0.5%
18000 1
 
0.5%
15000 1
 
0.5%
12000 1
 
0.5%
11800 2
 
0.9%
10800 7
3.3%
9000 1
 
0.5%
7960 3
1.4%

DI_MR
Real number (ℝ)

HIGH CORRELATION 

Distinct14
Distinct (%)6.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.50252383
Minimum0.4872
Maximum0.5122
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.8 KiB
2024-03-01T10:13:26.017341image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/

Quantile statistics

Minimum0.4872
5-th percentile0.498
Q10.5
median0.5
Q30.505
95-th percentile0.5122
Maximum0.5122
Range0.025
Interquartile range (IQR)0.005

Descriptive statistics

Standard deviation0.0050111558
Coefficient of variation (CV)0.0099719765
Kurtosis0.36105562
Mean0.50252383
Median Absolute Deviation (MAD)0
Skewness0.81359831
Sum107.5401
Variance2.5111683 × 10-5
MonotonicityNot monotonic
2024-03-01T10:13:26.183859image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
Histogram with fixed size bins (bins=14)
ValueCountFrequency (%)
0.5 135
63.1%
0.5122 30
 
14.0%
0.505 14
 
6.5%
0.498 6
 
2.8%
0.512 5
 
2.3%
0.508 4
 
1.9%
0.501 4
 
1.9%
0.507 4
 
1.9%
0.4949 3
 
1.4%
0.504 2
 
0.9%
Other values (4) 7
 
3.3%
ValueCountFrequency (%)
0.4872 2
 
0.9%
0.4949 3
 
1.4%
0.495 1
 
0.5%
0.498 6
 
2.8%
0.5 135
63.1%
0.501 4
 
1.9%
0.504 2
 
0.9%
0.505 14
 
6.5%
0.506 2
 
0.9%
0.507 4
 
1.9%
ValueCountFrequency (%)
0.5122 30
 
14.0%
0.512 5
 
2.3%
0.509 2
 
0.9%
0.508 4
 
1.9%
0.507 4
 
1.9%
0.506 2
 
0.9%
0.505 14
 
6.5%
0.504 2
 
0.9%
0.501 4
 
1.9%
0.5 135
63.1%

PO_MR
Real number (ℝ)

HIGH CORRELATION 

Distinct94
Distinct (%)43.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.21801332
Minimum0.0371
Maximum0.448
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.8 KiB
2024-03-01T10:13:26.428839image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/

Quantile statistics

Minimum0.0371
5-th percentile0.08495
Q10.1553125
median0.21475052
Q30.2566
95-th percentile0.39363
Maximum0.448
Range0.4109
Interquartile range (IQR)0.1012875

Descriptive statistics

Standard deviation0.08758817
Coefficient of variation (CV)0.40175605
Kurtosis-0.34576113
Mean0.21801332
Median Absolute Deviation (MAD)0.057
Skewness0.27731104
Sum46.654851
Variance0.0076716876
MonotonicityNot monotonic
2024-03-01T10:13:26.571003image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.25 26
 
12.1%
0.2 13
 
6.1%
0.3 11
 
5.1%
0.125 10
 
4.7%
0.1 9
 
4.2%
0.4 8
 
3.7%
0.2927 7
 
3.3%
0.249 6
 
2.8%
0.2439 4
 
1.9%
0.1951 4
 
1.9%
Other values (84) 116
54.2%
ValueCountFrequency (%)
0.0371 1
0.5%
0.0573 1
0.5%
0.0619 1
0.5%
0.066 2
0.9%
0.069 1
0.5%
0.0714 1
0.5%
0.078 1
0.5%
0.081 1
0.5%
0.0825 1
0.5%
0.083 1
0.5%
ValueCountFrequency (%)
0.448 1
 
0.5%
0.4375 1
 
0.5%
0.412 1
 
0.5%
0.4 8
3.7%
0.3902 2
 
0.9%
0.375 1
 
0.5%
0.3616 1
 
0.5%
0.354 4
1.9%
0.3333 4
1.9%
0.333 2
 
0.9%

CE_MR
Real number (ℝ)

HIGH CORRELATION 

Distinct96
Distinct (%)44.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.27945818
Minimum0.052
Maximum0.4507
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.8 KiB
2024-03-01T10:13:26.691137image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/

Quantile statistics

Minimum0.052
5-th percentile0.1
Q10.241
median0.2845
Q30.341125
95-th percentile0.41335
Maximum0.4507
Range0.3987
Interquartile range (IQR)0.100125

Descriptive statistics

Standard deviation0.087370243
Coefficient of variation (CV)0.31264157
Kurtosis-0.37530654
Mean0.27945818
Median Absolute Deviation (MAD)0.05625
Skewness-0.28916877
Sum59.80405
Variance0.0076335593
MonotonicityNot monotonic
2024-03-01T10:13:26.856544image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.25 23
 
10.7%
0.3 14
 
6.5%
0.2 11
 
5.1%
0.375 9
 
4.2%
0.4 9
 
4.2%
0.1 8
 
3.7%
0.1951 7
 
3.3%
0.253 6
 
2.8%
0.1667 4
 
1.9%
0.333 4
 
1.9%
Other values (86) 119
55.6%
ValueCountFrequency (%)
0.052 1
 
0.5%
0.0625 1
 
0.5%
0.083 1
 
0.5%
0.0976 2
 
0.9%
0.1 8
3.7%
0.125 1
 
0.5%
0.1384 1
 
0.5%
0.141 4
1.9%
0.1667 4
1.9%
0.167 2
 
0.9%
ValueCountFrequency (%)
0.4507 1
0.5%
0.4305 1
0.5%
0.429 2
0.9%
0.4286 1
0.5%
0.426 1
0.5%
0.4259 1
0.5%
0.422 1
0.5%
0.4175 1
0.5%
0.414 2
0.9%
0.413 1
0.5%

IsoIndex
Real number (ℝ)

HIGH CORRELATION 

Distinct16
Distinct (%)7.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.0104346
Minimum0.95
Maximum1.05
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.8 KiB
2024-03-01T10:13:27.018657image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/

Quantile statistics

Minimum0.95
5-th percentile0.99
Q11
median1
Q31.022
95-th percentile1.05
Maximum1.05
Range0.1
Interquartile range (IQR)0.022

Descriptive statistics

Standard deviation0.020597026
Coefficient of variation (CV)0.020384324
Kurtosis0.21990179
Mean1.0104346
Median Absolute Deviation (MAD)0
Skewness0.84045186
Sum216.233
Variance0.00042423748
MonotonicityNot monotonic
2024-03-01T10:13:27.157058image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
Histogram with fixed size bins (bins=16)
ValueCountFrequency (%)
1 135
63.1%
1.05 35
 
16.4%
1.022 8
 
3.7%
1.02 6
 
2.8%
0.99 6
 
2.8%
1.004 4
 
1.9%
0.98 4
 
1.9%
1.03 4
 
1.9%
1.026 2
 
0.9%
1.031 2
 
0.9%
Other values (6) 8
 
3.7%
ValueCountFrequency (%)
0.95 2
 
0.9%
0.98 4
 
1.9%
0.99 6
 
2.8%
1 135
63.1%
1.004 4
 
1.9%
1.016 1
 
0.5%
1.017 1
 
0.5%
1.02 6
 
2.8%
1.022 8
 
3.7%
1.026 2
 
0.9%
ValueCountFrequency (%)
1.05 35
16.4%
1.04 1
 
0.5%
1.036 1
 
0.5%
1.034 2
 
0.9%
1.031 2
 
0.9%
1.03 4
 
1.9%
1.026 2
 
0.9%
1.022 8
 
3.7%
1.02 6
 
2.8%
1.017 1
 
0.5%

CHS (%)
Real number (ℝ)

HIGH CORRELATION 

Distinct174
Distinct (%)81.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean32.786402
Minimum2.8
Maximum75.7
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.8 KiB
2024-03-01T10:13:27.282214image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/

Quantile statistics

Minimum2.8
5-th percentile8.322
Q122.42
median31.45
Q344.2525
95-th percentile57.959
Maximum75.7
Range72.9
Interquartile range (IQR)21.8325

Descriptive statistics

Standard deviation15.872862
Coefficient of variation (CV)0.48412942
Kurtosis-0.29151698
Mean32.786402
Median Absolute Deviation (MAD)11.52
Skewness0.26515964
Sum7016.29
Variance251.94774
MonotonicityNot monotonic
2024-03-01T10:13:27.451948image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
40 6
 
2.8%
50 6
 
2.8%
30 5
 
2.3%
25 5
 
2.3%
24.4 3
 
1.4%
60 3
 
1.4%
20 2
 
0.9%
46.33 2
 
0.9%
53.91 2
 
0.9%
41.3 2
 
0.9%
Other values (164) 178
83.2%
ValueCountFrequency (%)
2.8 1
0.5%
3.13 1
0.5%
3.73 1
0.5%
3.77 1
0.5%
4.25 1
0.5%
4.7 1
0.5%
5.14 1
0.5%
5.34 1
0.5%
5.6 1
0.5%
7.44 1
0.5%
ValueCountFrequency (%)
75.7 1
 
0.5%
73.43 2
0.9%
73.2 1
 
0.5%
72.98 1
 
0.5%
68.7 1
 
0.5%
63.1 1
 
0.5%
61.9 1
 
0.5%
60 3
1.4%
56.86 1
 
0.5%
56.4 1
 
0.5%

Tr1
Real number (ℝ)

HIGH CORRELATION 

Distinct15
Distinct (%)7.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean79.38785
Minimum0
Maximum120
Zeros1
Zeros (%)0.5%
Negative0
Negative (%)0.0%
Memory size1.8 KiB
2024-03-01T10:13:27.590099image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile22
Q160
median85
Q3110
95-th percentile120
Maximum120
Range120
Interquartile range (IQR)50

Descriptive statistics

Standard deviation34.228781
Coefficient of variation (CV)0.43115893
Kurtosis-0.92851502
Mean79.38785
Median Absolute Deviation (MAD)25
Skewness-0.60384238
Sum16989
Variance1171.6094
MonotonicityNot monotonic
2024-03-01T10:13:27.742115image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
Histogram with fixed size bins (bins=15)
ValueCountFrequency (%)
110 38
17.8%
120 32
15.0%
80 26
12.1%
85 23
10.7%
25 22
10.3%
22 22
10.3%
90 15
 
7.0%
65 12
 
5.6%
100 11
 
5.1%
60 4
 
1.9%
Other values (5) 9
 
4.2%
ValueCountFrequency (%)
0 1
 
0.5%
22 22
10.3%
25 22
10.3%
45 3
 
1.4%
50 3
 
1.4%
60 4
 
1.9%
65 12
5.6%
70 1
 
0.5%
75 1
 
0.5%
80 26
12.1%
ValueCountFrequency (%)
120 32
15.0%
110 38
17.8%
100 11
 
5.1%
90 15
 
7.0%
85 23
10.7%
80 26
12.1%
75 1
 
0.5%
70 1
 
0.5%
65 12
 
5.6%
60 4
 
1.9%

Tr2
Real number (ℝ)

HIGH CORRELATION 

Distinct14
Distinct (%)6.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean88.752336
Minimum22
Maximum135
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.8 KiB
2024-03-01T10:13:27.881109image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/

Quantile statistics

Minimum22
5-th percentile22
Q125
median110
Q3130
95-th percentile131.75
Maximum135
Range113
Interquartile range (IQR)105

Descriptive statistics

Standard deviation43.962098
Coefficient of variation (CV)0.49533454
Kurtosis-1.4129971
Mean88.752336
Median Absolute Deviation (MAD)20
Skewness-0.51069381
Sum18993
Variance1932.6661
MonotonicityNot monotonic
2024-03-01T10:13:28.013716image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
Histogram with fixed size bins (bins=14)
ValueCountFrequency (%)
130 67
31.3%
25 32
15.0%
22 23
 
10.7%
110 18
 
8.4%
120 15
 
7.0%
60 14
 
6.5%
100 13
 
6.1%
80 11
 
5.1%
135 11
 
5.1%
65 6
 
2.8%
Other values (4) 4
 
1.9%
ValueCountFrequency (%)
22 23
10.7%
25 32
15.0%
55 1
 
0.5%
60 14
6.5%
65 6
 
2.8%
75 1
 
0.5%
80 11
 
5.1%
82 1
 
0.5%
90 1
 
0.5%
100 13
6.1%
ValueCountFrequency (%)
135 11
 
5.1%
130 67
31.3%
120 15
 
7.0%
110 18
 
8.4%
100 13
 
6.1%
90 1
 
0.5%
82 1
 
0.5%
80 11
 
5.1%
75 1
 
0.5%
65 6
 
2.8%

Gage_Length (mm)
Real number (ℝ)

Distinct13
Distinct (%)6.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean24.439346
Minimum7.62
Maximum50
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.8 KiB
2024-03-01T10:13:28.235807image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/

Quantile statistics

Minimum7.62
5-th percentile17.2
Q122
median25
Q325
95-th percentile35
Maximum50
Range42.38
Interquartile range (IQR)3

Descriptive statistics

Standard deviation6.1622191
Coefficient of variation (CV)0.25214337
Kurtosis4.9184803
Mean24.439346
Median Absolute Deviation (MAD)1
Skewness1.0830293
Sum5230.02
Variance37.972944
MonotonicityNot monotonic
2024-03-01T10:13:28.338808image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
Histogram with fixed size bins (bins=13)
ValueCountFrequency (%)
25 88
41.1%
20 36
16.8%
22 26
 
12.1%
24 22
 
10.3%
30 10
 
4.7%
10 8
 
3.7%
33 7
 
3.3%
35 5
 
2.3%
38.1 4
 
1.9%
50 3
 
1.4%
Other values (3) 5
 
2.3%
ValueCountFrequency (%)
7.62 1
 
0.5%
10 8
 
3.7%
12 2
 
0.9%
20 36
16.8%
22 26
 
12.1%
24 22
 
10.3%
25 88
41.1%
30 10
 
4.7%
33 7
 
3.3%
35 5
 
2.3%
ValueCountFrequency (%)
50 3
 
1.4%
45 2
 
0.9%
38.1 4
 
1.9%
35 5
 
2.3%
33 7
 
3.3%
30 10
 
4.7%
25 88
41.1%
24 22
 
10.3%
22 26
 
12.1%
20 36
16.8%

Gage_Width (mm)
Real number (ℝ)

HIGH CORRELATION 

Distinct10
Distinct (%)4.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean5.2672897
Minimum2
Maximum10
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.8 KiB
2024-03-01T10:13:28.433166image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/

Quantile statistics

Minimum2
5-th percentile2.2
Q15
median6
Q36
95-th percentile6
Maximum10
Range8
Interquartile range (IQR)1

Descriptive statistics

Standard deviation1.2555971
Coefficient of variation (CV)0.23837631
Kurtosis2.8842484
Mean5.2672897
Median Absolute Deviation (MAD)0
Skewness-0.21871121
Sum1127.2
Variance1.5765241
MonotonicityNot monotonic
2024-03-01T10:13:28.568653image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%)
6 110
51.4%
5 52
24.3%
4 31
 
14.5%
2 6
 
2.8%
2.2 6
 
2.8%
10 3
 
1.4%
2.91 2
 
0.9%
8 2
 
0.9%
3.18 1
 
0.5%
3 1
 
0.5%
ValueCountFrequency (%)
2 6
 
2.8%
2.2 6
 
2.8%
2.91 2
 
0.9%
3 1
 
0.5%
3.18 1
 
0.5%
4 31
 
14.5%
5 52
24.3%
6 110
51.4%
8 2
 
0.9%
10 3
 
1.4%
ValueCountFrequency (%)
10 3
 
1.4%
8 2
 
0.9%
6 110
51.4%
5 52
24.3%
4 31
 
14.5%
3.18 1
 
0.5%
3 1
 
0.5%
2.91 2
 
0.9%
2.2 6
 
2.8%
2 6
 
2.8%

Thickness (mm)
Real number (ℝ)

HIGH CORRELATION 

Distinct13
Distinct (%)6.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.91495327
Minimum0.1
Maximum4
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.8 KiB
2024-03-01T10:13:28.687180image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/

Quantile statistics

Minimum0.1
5-th percentile0.2325
Q10.5
median1
Q31
95-th percentile2
Maximum4
Range3.9
Interquartile range (IQR)0.5

Descriptive statistics

Standard deviation0.67759984
Coefficient of variation (CV)0.7405841
Kurtosis8.1543583
Mean0.91495327
Median Absolute Deviation (MAD)0.5
Skewness2.3962473
Sum195.8
Variance0.45914155
MonotonicityNot monotonic
2024-03-01T10:13:28.819604image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
Histogram with fixed size bins (bins=13)
ValueCountFrequency (%)
1 88
41.1%
0.5 55
25.7%
2 19
 
8.9%
0.3 14
 
6.5%
0.4 8
 
3.7%
0.1 6
 
2.8%
4 5
 
2.3%
1.3 5
 
2.3%
0.25 4
 
1.9%
1.5 3
 
1.4%
Other values (3) 7
 
3.3%
ValueCountFrequency (%)
0.1 6
 
2.8%
0.15 2
 
0.9%
0.2 3
 
1.4%
0.25 4
 
1.9%
0.3 14
 
6.5%
0.4 8
 
3.7%
0.5 55
25.7%
0.7 2
 
0.9%
1 88
41.1%
1.3 5
 
2.3%
ValueCountFrequency (%)
4 5
 
2.3%
2 19
 
8.9%
1.5 3
 
1.4%
1.3 5
 
2.3%
1 88
41.1%
0.7 2
 
0.9%
0.5 55
25.7%
0.4 8
 
3.7%
0.3 14
 
6.5%
0.25 4
 
1.9%

Elongation_Rate (mm/min)
Real number (ℝ)

HIGH CORRELATION 

Distinct11
Distinct (%)5.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean105.06168
Minimum10
Maximum500
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.8 KiB
2024-03-01T10:13:28.928627image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/

Quantile statistics

Minimum10
5-th percentile10
Q125
median50
Q3100
95-th percentile500
Maximum500
Range490
Interquartile range (IQR)75

Descriptive statistics

Standard deviation138.77896
Coefficient of variation (CV)1.3209284
Kurtosis3.9828885
Mean105.06168
Median Absolute Deviation (MAD)40
Skewness2.3102111
Sum22483.2
Variance19259.599
MonotonicityNot monotonic
2024-03-01T10:13:29.046119image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
Histogram with fixed size bins (bins=11)
ValueCountFrequency (%)
100 82
38.3%
25 55
25.7%
500 22
 
10.3%
50 18
 
8.4%
10 13
 
6.1%
36 12
 
5.6%
20 5
 
2.3%
12.7 4
 
1.9%
25.4 1
 
0.5%
200 1
 
0.5%
ValueCountFrequency (%)
10 13
 
6.1%
12.7 4
 
1.9%
20 5
 
2.3%
25 55
25.7%
25.4 1
 
0.5%
36 12
 
5.6%
50 18
 
8.4%
70 1
 
0.5%
100 82
38.3%
200 1
 
0.5%
ValueCountFrequency (%)
500 22
 
10.3%
200 1
 
0.5%
100 82
38.3%
70 1
 
0.5%
50 18
 
8.4%
36 12
 
5.6%
25.4 1
 
0.5%
25 55
25.7%
20 5
 
2.3%
12.7 4
 
1.9%

Strain_Rate (/min)
Real number (ℝ)

HIGH CORRELATION 

Distinct20
Distinct (%)9.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4.4226168
Minimum0.25
Maximum25
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.8 KiB
2024-03-01T10:13:29.145635image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/

Quantile statistics

Minimum0.25
5-th percentile0.333
Q11.042
median3.4
Q34
95-th percentile25
Maximum25
Range24.75
Interquartile range (IQR)2.958

Descriptive statistics

Standard deviation6.2766028
Coefficient of variation (CV)1.4192056
Kurtosis5.6616194
Mean4.4226168
Median Absolute Deviation (MAD)1.6
Skewness2.5900614
Sum946.44
Variance39.395742
MonotonicityNot monotonic
2024-03-01T10:13:29.259923image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
Histogram with fixed size bins (bins=20)
ValueCountFrequency (%)
4 83
38.8%
0.625 23
 
10.7%
1.042 22
 
10.3%
25 15
 
7.0%
1.8 12
 
5.6%
2 10
 
4.7%
1.25 8
 
3.7%
0.333 8
 
3.7%
15.152 7
 
3.3%
0.25 6
 
2.8%
Other values (10) 20
 
9.3%
ValueCountFrequency (%)
0.25 6
 
2.8%
0.33 1
 
0.5%
0.333 8
 
3.7%
0.508 1
 
0.5%
0.625 23
10.7%
0.833 2
 
0.9%
1 3
 
1.4%
1.042 22
10.3%
1.111 2
 
0.9%
1.25 8
 
3.7%
ValueCountFrequency (%)
25 15
 
7.0%
15.152 7
 
3.3%
8 1
 
0.5%
5 1
 
0.5%
4 83
38.8%
2.8 1
 
0.5%
2.5 5
 
2.3%
2 10
 
4.7%
1.8 12
 
5.6%
1.429 3
 
1.4%

Young's modulus (Mpa)
Real number (ℝ)

HIGH CORRELATION 

Distinct204
Distinct (%)95.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean55.350935
Minimum0.57
Maximum880
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.8 KiB
2024-03-01T10:13:29.373352image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/

Quantile statistics

Minimum0.57
5-th percentile1.0755
Q112.7425
median31
Q354.525
95-th percentile170.82
Maximum880
Range879.43
Interquartile range (IQR)41.7825

Descriptive statistics

Standard deviation98.34419
Coefficient of variation (CV)1.7767395
Kurtosis33.173939
Mean55.350935
Median Absolute Deviation (MAD)20.6
Skewness5.1562089
Sum11845.1
Variance9671.5797
MonotonicityNot monotonic
2024-03-01T10:13:29.508353image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
18.2 2
 
0.9%
1.5 2
 
0.9%
31 2
 
0.9%
4.2 2
 
0.9%
15.2 2
 
0.9%
32.9 2
 
0.9%
8.8 2
 
0.9%
11.4 2
 
0.9%
2.2 2
 
0.9%
0.9 2
 
0.9%
Other values (194) 194
90.7%
ValueCountFrequency (%)
0.57 1
0.5%
0.6 1
0.5%
0.61 1
0.5%
0.7 1
0.5%
0.75 1
0.5%
0.8 1
0.5%
0.9 2
0.9%
0.95 1
0.5%
0.99 1
0.5%
1.03 1
0.5%
ValueCountFrequency (%)
880 1
0.5%
650 1
0.5%
573.2 1
0.5%
460 1
0.5%
354.4 1
0.5%
270 1
0.5%
263.9 1
0.5%
225.8 1
0.5%
210 1
0.5%
192 1
0.5%

Tensile strength (Mpa)
Real number (ℝ)

Distinct181
Distinct (%)84.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean25.350804
Minimum1.092
Maximum76.4
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.8 KiB
2024-03-01T10:13:29.717613image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/

Quantile statistics

Minimum1.092
5-th percentile2.165
Q113.225
median24.6
Q335.9
95-th percentile50.07
Maximum76.4
Range75.308
Interquartile range (IQR)22.675

Descriptive statistics

Standard deviation15.339182
Coefficient of variation (CV)0.60507676
Kurtosis0.075868958
Mean25.350804
Median Absolute Deviation (MAD)11.35
Skewness0.50354391
Sum5425.072
Variance235.29051
MonotonicityNot monotonic
2024-03-01T10:13:29.864973image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
33.5 3
 
1.4%
27.4 3
 
1.4%
24.3 3
 
1.4%
16 2
 
0.9%
8.8 2
 
0.9%
17.9 2
 
0.9%
38.3 2
 
0.9%
22.3 2
 
0.9%
8.1 2
 
0.9%
26.7 2
 
0.9%
Other values (171) 191
89.3%
ValueCountFrequency (%)
1.092 1
0.5%
1.2 1
0.5%
1.25 1
0.5%
1.4 1
0.5%
1.65 2
0.9%
1.79 1
0.5%
1.91 2
0.9%
2.1 2
0.9%
2.2 1
0.5%
2.6 1
0.5%
ValueCountFrequency (%)
76.4 1
0.5%
75.5 1
0.5%
67.7 1
0.5%
59.2 1
0.5%
59.1 1
0.5%
57.6 1
0.5%
55.1 1
0.5%
53.4 1
0.5%
51.8 1
0.5%
50.7 1
0.5%

Elongation at break (%)
Real number (ℝ)

Distinct166
Distinct (%)77.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean622.80234
Minimum110
Maximum1550
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.8 KiB
2024-03-01T10:13:29.990974image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/

Quantile statistics

Minimum110
5-th percentile225
Q1420.425
median577
Q3777.75
95-th percentile1214.4
Maximum1550
Range1440
Interquartile range (IQR)357.325

Descriptive statistics

Standard deviation298.17457
Coefficient of variation (CV)0.47876276
Kurtosis0.51355118
Mean622.80234
Median Absolute Deviation (MAD)177
Skewness0.8334964
Sum133279.7
Variance88908.073
MonotonicityNot monotonic
2024-03-01T10:13:30.141110image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
600 5
 
2.3%
400 5
 
2.3%
450 4
 
1.9%
280 4
 
1.9%
750 4
 
1.9%
530 3
 
1.4%
265 3
 
1.4%
1020 3
 
1.4%
603 3
 
1.4%
225 3
 
1.4%
Other values (156) 177
82.7%
ValueCountFrequency (%)
110 2
0.9%
150 1
 
0.5%
170 1
 
0.5%
175 1
 
0.5%
195 1
 
0.5%
200 2
0.9%
205 1
 
0.5%
210 1
 
0.5%
225 3
1.4%
230 1
 
0.5%
ValueCountFrequency (%)
1550 1
0.5%
1540 1
0.5%
1500 1
0.5%
1440 1
0.5%
1360 1
0.5%
1325 1
0.5%
1320 1
0.5%
1280 1
0.5%
1252.7 1
0.5%
1250 1
0.5%

Interactions

2024-03-01T10:13:23.349326image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-03-01T10:12:57.907188image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-03-01T10:12:59.735672image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-03-01T10:13:01.490061image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-03-01T10:13:02.998027image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-03-01T10:13:04.863644image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-03-01T10:13:06.448591image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-03-01T10:13:08.138735image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-03-01T10:13:09.792023image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-03-01T10:13:11.492096image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-03-01T10:13:12.988780image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-03-01T10:13:14.741708image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-03-01T10:13:16.603121image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-03-01T10:13:18.212749image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-03-01T10:13:19.751984image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-03-01T10:13:21.406191image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-03-01T10:13:23.465966image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-03-01T10:12:58.109907image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-03-01T10:12:59.835671image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-03-01T10:13:01.593058image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-03-01T10:13:03.112655image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-03-01T10:13:04.962756image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-03-01T10:13:06.558591image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-03-01T10:13:08.246402image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-03-01T10:13:09.896056image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-03-01T10:13:11.588737image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-03-01T10:13:13.095429image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-03-01T10:13:14.859707image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-03-01T10:13:16.700120image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-03-01T10:13:18.307548image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-03-01T10:13:19.850981image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-03-01T10:13:21.528156image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-03-01T10:13:23.568226image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-03-01T10:12:58.207782image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-03-01T10:12:59.905670image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-03-01T10:13:01.679063image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-03-01T10:13:03.219314image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-03-01T10:13:05.050760image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-03-01T10:13:06.667590image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-03-01T10:13:08.349267image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-03-01T10:13:10.070279image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-03-01T10:13:11.673874image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-03-01T10:13:13.195297image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-03-01T10:13:14.964709image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-03-01T10:13:16.797258image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-03-01T10:13:18.393812image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-03-01T10:13:19.937110image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-03-01T10:13:21.722929image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-03-01T10:13:23.662157image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-03-01T10:12:58.294981image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-03-01T10:13:00.062288image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-03-01T10:13:01.746066image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-03-01T10:13:03.317315image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-03-01T10:13:05.129757image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-03-01T10:13:06.764167image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-03-01T10:13:08.434469image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-03-01T10:13:10.154297image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-03-01T10:13:11.749874image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-03-01T10:13:13.286014image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-03-01T10:13:15.071675image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-03-01T10:13:16.881258image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-03-01T10:13:18.476553image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-03-01T10:13:20.102115image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-03-01T10:13:21.825932image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-03-01T10:13:23.803614image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-03-01T10:12:58.414983image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-03-01T10:13:00.174482image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-03-01T10:13:01.859470image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-03-01T10:13:03.412994image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-03-01T10:13:05.242563image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-03-01T10:13:06.898931image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-03-01T10:13:08.632193image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-03-01T10:13:10.268994image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-03-01T10:13:11.857184image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-03-01T10:13:13.411745image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-03-01T10:13:15.199357image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-03-01T10:13:16.995261image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-03-01T10:13:18.586414image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-03-01T10:13:20.217777image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-03-01T10:13:21.964427image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-03-01T10:13:23.917811image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-03-01T10:12:58.512245image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-03-01T10:13:00.262482image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-03-01T10:13:01.940601image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-03-01T10:13:03.520993image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-03-01T10:13:05.310561image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-03-01T10:13:07.003283image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-03-01T10:13:08.734165image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-03-01T10:13:10.365461image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-03-01T10:13:11.946184image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-03-01T10:13:13.509706image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-03-01T10:13:15.303479image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-03-01T10:13:17.087258image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-03-01T10:13:18.754571image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-03-01T10:13:20.317920image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-03-01T10:13:22.077051image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-03-01T10:13:24.034458image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-03-01T10:12:58.618035image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-03-01T10:13:00.362481image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-03-01T10:13:02.031605image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-03-01T10:13:03.636995image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-03-01T10:13:05.408563image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-03-01T10:13:07.169996image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-03-01T10:13:08.825165image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-03-01T10:13:10.459586image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-03-01T10:13:12.032340image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-03-01T10:13:13.616889image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-03-01T10:13:15.418478image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-03-01T10:13:17.190260image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-03-01T10:13:18.843569image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-03-01T10:13:20.423918image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-03-01T10:13:22.175356image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
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2024-03-01T10:13:24.288547image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
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2024-03-01T10:13:07.352713image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-03-01T10:13:08.988164image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
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2024-03-01T10:13:12.202533image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-03-01T10:13:13.826998image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-03-01T10:13:15.643676image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-03-01T10:13:17.457685image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-03-01T10:13:19.025039image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-03-01T10:13:20.634250image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
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2024-03-01T10:13:02.284249image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
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2024-03-01T10:13:12.472658image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-03-01T10:13:14.127472image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
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2024-03-01T10:13:24.818470image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-03-01T10:12:59.326209image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
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2024-03-01T10:13:19.394152image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
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2024-03-01T10:13:22.901582image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-03-01T10:13:25.018778image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
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2024-03-01T10:13:23.006590image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
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2024-03-01T10:13:12.811778image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-03-01T10:13:14.629710image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-03-01T10:13:16.482124image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-03-01T10:13:18.113405image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-03-01T10:13:19.647843image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-03-01T10:13:21.314193image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-03-01T10:13:23.222298image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/

Correlations

2024-03-01T10:13:30.241282image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
CE_MRCHS (%)DI_MRElongation at break (%)Elongation_Rate (mm/min)Gage_Length (mm)Gage_Width (mm)IsoIndexPO_MRPO_MW (g/mol)Strain_Rate (/min)Tensile strength (Mpa)Thickness (mm)Tr1Tr2Young's modulus (Mpa)
CE_MR1.0000.294-0.008-0.166-0.322-0.076-0.286-0.007-0.9900.334-0.2930.136-0.244-0.285-0.2970.025
CHS (%)0.2941.0000.034-0.1930.3360.3250.2950.028-0.310-0.6790.3380.4730.4070.4870.4750.593
DI_MR-0.0080.0341.0000.0620.0300.0130.1320.999-0.0910.1020.0750.0220.1260.1070.114-0.165
Elongation at break (%)-0.166-0.1930.0621.000-0.070-0.008-0.1830.0670.1580.081-0.0160.152-0.0310.089-0.049-0.213
Elongation_Rate (mm/min)-0.3220.3360.030-0.0701.0000.2260.6080.0330.307-0.4610.9490.2110.6290.6690.7290.206
Gage_Length (mm)-0.0760.3250.013-0.0080.2261.0000.2510.0140.069-0.4490.1140.2380.2510.3320.4060.320
Gage_Width (mm)-0.2860.2950.132-0.1830.6080.2511.0000.1320.274-0.3550.5040.1130.2650.6610.6560.087
IsoIndex-0.0070.0280.9990.0670.0330.0140.1321.000-0.0920.1050.0750.0260.1160.0970.104-0.173
PO_MR-0.990-0.310-0.0910.1580.3070.0690.274-0.0921.000-0.3280.276-0.1410.2380.2650.283-0.017
PO_MW (g/mol)0.334-0.6790.1020.081-0.461-0.449-0.3550.105-0.3281.000-0.446-0.289-0.506-0.559-0.583-0.586
Strain_Rate (/min)-0.2930.3380.075-0.0160.9490.1140.5040.0750.276-0.4461.0000.2210.6650.6700.7510.184
Tensile strength (Mpa)0.1360.4730.0220.1520.2110.2380.1130.026-0.141-0.2890.2211.0000.2750.2160.3220.421
Thickness (mm)-0.2440.4070.126-0.0310.6290.2510.2650.1160.238-0.5060.6650.2751.0000.5550.6420.317
Tr1-0.2850.4870.1070.0890.6690.3320.6610.0970.265-0.5590.6700.2160.5551.0000.9070.290
Tr2-0.2970.4750.114-0.0490.7290.4060.6560.1040.283-0.5830.7510.3220.6420.9071.0000.352
Young's modulus (Mpa)0.0250.593-0.165-0.2130.2060.3200.087-0.173-0.017-0.5860.1840.4210.3170.2900.3521.000

Missing values

2024-03-01T10:13:25.272469image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
A simple visualization of nullity by column.
2024-03-01T10:13:25.459469image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
Nullity matrix is a data-dense display which lets you quickly visually pick out patterns in data completion.

Sample

PO_MW (g/mol)DI_MRPO_MRCE_MRIsoIndexCHS (%)Tr1Tr2Gage_Length (mm)Gage_Width (mm)Thickness (mm)Elongation_Rate (mm/min)Strain_Rate (/min)Young's modulus (Mpa)Tensile strength (Mpa)Elongation at break (%)
020000.50.12500.37501.030.3045.065.035.002.000.550.01.42937.0067.7001540.0
120000.50.12500.37501.031.3045.065.035.002.000.550.01.42931.2047.1001500.0
214130.50.16700.33301.040.0090.0100.022.005.001.550.02.50020.2531.400667.0
314130.50.10000.40001.050.0090.0100.022.005.001.550.02.50077.9935.100602.0
414130.50.12500.37501.040.00100.0100.022.005.001.550.02.50089.0426.900755.0
523000.50.12500.37501.035.60100.0100.07.623.180.525.40.50849.0449.500432.0
6108000.50.33300.16701.03.7725.025.024.005.000.325.01.0420.951.092268.0
7315000.50.12500.37501.03.7325.025.024.005.000.325.01.0420.751.790501.0
8108000.50.25000.25001.05.1425.025.024.005.000.325.01.0421.101.400210.0
9108000.50.16670.33331.07.7525.025.024.005.000.325.01.0421.602.100230.0
PO_MW (g/mol)DI_MRPO_MRCE_MRIsoIndexCHS (%)Tr1Tr2Gage_Length (mm)Gage_Width (mm)Thickness (mm)Elongation_Rate (mm/min)Strain_Rate (/min)Young's modulus (Mpa)Tensile strength (Mpa)Elongation at break (%)
20420000.5000.0930.4071.0060.00110.0130.025.06.01.0100.04.044.6030.0345.0
2058600.5000.2000.3001.0055.79110.0135.025.06.01.0100.04.0880.0050.0225.0
2068600.5000.2500.2501.0048.41110.0135.025.06.01.0100.04.0192.0051.8250.0
2078600.5000.2000.3001.0056.33110.0135.025.06.01.0100.04.0460.0034.4225.0
2088600.5000.2000.3001.0056.86110.0135.025.06.01.0100.04.0650.0040.0200.0
20910000.5000.1420.3581.0056.2065.065.025.02.00.570.02.877.1731.1530.0
21010000.5000.2000.3001.0045.0880.060.025.06.01.0100.04.0161.3029.3693.0
21120000.5120.2220.2661.0525.5580.060.050.010.00.550.01.06.4742.0828.0
21220000.5120.2030.2851.0527.4580.060.050.010.00.550.01.07.0138.3690.0
21320000.5120.1880.3001.0529.2680.060.050.010.00.550.01.05.9340.5743.0